Partial differential equations Definition
Entropy solution
Definition
Let , let be continuously differentiable, and let be bounded and measurable. Consider the scalar conservation law A bounded measurable function is an entropy solution in the sense of Kruzhkov if the following holds. For every real number and every nonnegative test function ,
Remarks
Take larger than and , and then smaller than and . This gives two opposite inequalities whose combination says that is a weak solution of the initial value problem. So every entropy solution is a weak solution. Kruzhkov's theorem states that for each bounded measurable there is exactly one entropy solution, and that it depends continuously on in . Let be piecewise smooth in one space dimension, with strictly convex. Then the condition is equivalent to the Rankine–Hugoniot jump condition together with the Lax condition across each shock. Here and are the values to the left and to the right of the shock.
Example: for Burgers' equation, and , with for and for , the shock for and for is the entropy solution. Its speed is , as Rankine–Hugoniot requires, and .
Non-example: with for and for , the shock for and for is a weak solution but not an entropy solution, because . The entropy solution is the rarefaction fan for , for , and for .
Reading path
To understand this page from the ground up, read these 3 pages in order. The foundations come first.
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- no evidence level
- Continuously differentiable function concept
- Weak solution concept
- Entropy solution definition
Further reading
About this page
| Tag | EWFW0P9KKC |
|---|---|
| URI | m2://EWFW0P9KKC |
| Kind | definition |
| Writing | W0 stub |
| MSC | 35L65, 35D30 |
| Defines | Entropy solution |
| Uses | Weak solution, Continuously differentiable function |
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